CEO Amrita Sai Institute of Science and Technology / Innogeecks Technologies
Nowadays, this contemporary world becoming digital world because all over people in the world based on electronic gadgets, transmission like information, amount from one place to another, knowledge and so on. Unfortunately, if there is over addiction or belief in this systematic gadgets, surely there will be an equal amount of consequence in the side of computer oriented crime or cybercrime. Nowadays many applications are found to control and monitor these threats. Here also a field that controls and analyse the extract systematic data which is threated by cybercrime. That field is known as analytics of big data. It important role is to monitor and protect the information from threats of cyber. Threats in cyber, monitor and protect the violation are the main matter in the safety of cyber. Flowing of network and computerized matters handles information and leads to face the problems like violation and monitoring with good level and correct perfection. Here this research focuses on the veracity, variety and volume of information in web server and threats. A group of information with various matter types like information in numbers and category are investigated with the support of programming language. This language is used to detect the fake information, detect the missing data and analyse the quality of information. It also analyse the false pretence used by different users in the world. And also it analyse the correlation of numbers and congregate depend on K language also discussed in this paper.